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BeeHIVE: behavioral biometric system based on object interactions in smart environments

Abstract:
The lack of standard input interfaces in Internet of Things (IoT) ecosystems presents a challenge in securing such infrastructures. To tackle this challenge, we introduce a novel behavioral biometric system based on naturally occurring interactions with objects in smart environments. This biometric leverages existing sensors to authenticate users without requiring any hardware modifications of existing smart home devices. The system is designed to reduce the need for phone-based authentication mechanisms, on which smart home systems currently rely. It requires the user to approve transactions on their phone only when the user cannot be authenticated with high confidence through their interactions with the smart environment. We conduct a real-world experiment that involves 13 participants in a company environment. We show that this system can provide seamless and unobtrusive authentication while still remaining highly resistant to zero-effort, video, and inperson observation-based mimicry attacks. Even when at most 1% of the strongest type of mimicry attacks are successful, our system does not require the user to take out their phone to approve legitimate transactions in more than 84% of cases for a single interaction. This increases to 93% of transactions when interactions with more objects are considered.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.5220/0012088900003555

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0002-2275-7026
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Kellogg College
Role:
Author
ORCID:
0000-0003-2340-3040


Publisher:
SciTePress
Host title:
Proceedings of the 20th International Conference on Security and Cryptography (SECRYPT 2023)
Volume:
1
Pages:
135-146
Publication date:
2023-08-01
Acceptance date:
2023-04-23
Event title:
20th International Conference on Security and Cryptography (SECRYPT 2023)
Event location:
Rome, Italy
Event website:
https://secrypt.scitevents.org/
Event start date:
2023-07-10
Event end date:
2023-07-12
DOI:
ISSN:
2184-7711
ISBN:
978-989-758-666-8


Language:
English
Keywords:
Pubs id:
1339517
Local pid:
pubs:1339517
Deposit date:
2023-05-02

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